R. Laylor
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Transplantation top 2%
Papers in
-
- Hematopoietic Stem Cell Transplantation 5
- Chronic Myeloid Leukemia Treatments 1
-
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 2
- Co-authors
- Francesco Dazzi (5 shared papers)Elizabeth Simpson (3 shared papers)Julian Dyson (1 shared paper)Sarah J. Glennie (1 shared paper)Mauro Krampera (1 shared paper)Diane Scott (1 shared paper)Magdi H. Yacoub (3 shared papers)Marlene L. Rose (2 shared papers)
- Journals
- British Journal of Cancer (1 paper)The Annals of Thoracic Surgery (1 paper)Clinical & Experimental Immunology (1 paper)Leukemia (1 paper)Transplant Immunology (1 paper)
- Partner nations
- United KingdomSpain
In The Last Decade
R. Laylor
11 papers receiving 1.7k citations
R. Laylor's Hit Papers
Peers
Comparison fields: 5 of 78
- Genetics 1.2k
- Transplantation 131
- Hematology 324
- Immunology 393
- Developmental Neuroscience 59
Countries citing papers authored by R. Laylor
This map shows the geographic impact of R. Laylor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by R. Laylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Laylor more than expected).
Fields of papers citing papers by R. Laylor
This network shows the impact of papers produced by R. Laylor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by R. Laylor. The network helps show where R. Laylor may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Laylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Bone marrow mesenchymal stem cells inhibit the response of naive and memory antigen-specific T cells to their cognate peptide Hit paper breakdown → | 2003 | 1269 |
| 2 | 1993 | 105 | |
| 3 | 2004 | 102 | |
| 4 | 2001 | 92 | |
| 5 | 1995 | 83 | |
| 6 | 1999 | 32 | |
| 7 | 2005 | 13 | |
| 8 | 2004 | 7 | |
| 9 | 2000 | 6 | |
| 10 | 1997 | 2 | |
| 11 | 2005 | 1 |
About R. Laylor
R. Laylor is a scholar working on Hematology, Immunology, Surgery, Genetics and Oncology, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Transplantation: Methods and Outcomes (4 papers), T-cell and B-cell Immunology (3 papers), Mesenchymal stem cell research (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Response and Inflammation (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Genetics (1.2k citations), Transplantation (131 citations), Hematology (324 citations), Immunology (393 citations) and Developmental Neuroscience (59 citations). R. Laylor has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Francesco Dazzi, Elizabeth Simpson, Julian Dyson, Sarah J. Glennie, Mauro Krampera, Diane Scott, Magdi H. Yacoub, Marlene L. Rose, John D. Smith and Anna J. Danskine. Their work appears in journals such as British Journal of Cancer, The Annals of Thoracic Surgery, Clinical & Experimental Immunology, Leukemia and Transplant Immunology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.